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Paper Citation Record · LEDGER

A Survey of AI Agent Protocols

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2504.16736.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.16736 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:51:01.004943Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

8
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ab5b51c0-188b-4a0c-80a0-c87304ba6f34 · inbound

Towards Multi-Agent Economies: Enhancing the A2A Protocol with Ledger-Anchored Identities and x402 Micropayments for AI Agents cites this paper.

Towards Multi-Agent Economies: Enhancing the A2A Protocol with Ledger-Anchored Identities and x402 Micropayments for AI Agents A Survey of AI Agent Protocols

Reference 19

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metadata mismatch
arxiv_id, observed 2026-05-19T02:06:58.466398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T02:05:59.197798Z digest=sha256:52f24916093296d3e011dca9ddc9d9e70fcb572895e0932e164addb5697f02b1

Observation 5ac9712b-dec2-490a-ab39-b76cf428c3fc · inbound

Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling cites this paper.

Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling A Survey of AI Agent Protocols

Reference 6

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no resolver link, observed 2026-08-06T04:51:01.004943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:51:01.004943Z digest=sha256:e35125d2a92f7ad2c6e37eea46859a2d28838f6c447491c4e3ccc698965b09f5

Observation 9c67cde5-0d68-4acb-9277-7a45fbac2c86 · inbound

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling cites this paper.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling A Survey of AI Agent Protocols

Reference 50

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arxiv_id, observed 2026-05-18T06:30:59.539545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T06:30:39.858246Z digest=sha256:9311e65d4db8c58561f908483e78838ba93b7d18e4a47e0e8193bc04eefa2256

Observation a954fb36-0e75-465f-8730-bb9b0032cbb6 · inbound

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities cites this paper.

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities A Survey of AI Agent Protocols

Reference 30

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no resolver link, observed 2026-08-03T10:30:41.825918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:30:41.825918Z digest=sha256:6d29183428b44baa10a5587df374449a1e353ca9762540ad6c2e48931b859a80

Observation 8c8ff301-561e-4c02-aab4-1ef3bd3f285c · inbound

Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP cites this paper.

Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP A Survey of AI Agent Protocols

Reference 13

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verified exact
arxiv_id, observed 2026-05-16T05:07:20.662005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T05:05:16.370606Z digest=sha256:d8b2bd9960cd11c8b8cd94bc0d207387d728d80ffdbf044bacedb601b16a9055

Observation 35dec835-737d-4c6b-968d-414a1d36a888 · inbound

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems cites this paper.

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems A Survey of AI Agent Protocols

Reference 137

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verified exact
arxiv_id, observed 2026-05-15T20:46:36.267171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T20:41:49.137745Z digest=sha256:ecb0b40efcc01a7ffd15b7b30a35fce98d5c4afdca010a3fae66a3dcc9bb7669

Observation dd3508ee-a78f-48c5-a149-7a95a57f8744 · inbound

Combating Data Laundering in LLM Training cites this paper.

Combating Data Laundering in LLM Training A Survey of AI Agent Protocols

Reference 71

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no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:08:35.474488Z digest=sha256:18974ec4e15df328380047f657c840d7acaca974b8972d512ddb80b9d2d939cc

Observation 38b68d2c-9635-452b-a294-4648e9dbd875 · inbound

From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers cites this paper.

From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers A Survey of AI Agent Protocols

Reference 71

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arxiv_id, observed 2026-05-21T10:44:07.958043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T10:41:17.307952Z digest=sha256:6a0b1347f994971bae056b221af5f91759f803833236273f3704ace803e086af

Observation 6003d5b3-c4f3-4364-9883-5d72ade9be67 · inbound

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web cites this paper.

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web A Survey of AI Agent Protocols

Reference 94

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arxiv_id, observed 2026-05-16T13:20:57.926306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T13:19:07.715653Z digest=sha256:a5773a43650fe29fbe073c5de22202931edff8b2bd22cd1d03d81b04bac4df84

Observation 1ed8a537-5f28-413e-a782-26ecc705911d · inbound

Beyond Message Passing: A Semantic View of Agent Communication Protocols cites this paper.

Beyond Message Passing: A Semantic View of Agent Communication Protocols A Survey of AI Agent Protocols

Reference 4

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no resolver link, observed 2026-07-13T16:36:47.055871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:36:47.055871Z digest=sha256:7f272dd3889ecf1b0e57ac7192c578476087cb6191fb727fe71ee0717cafa9d0

Observation efe8ff7a-401d-4a3d-9f13-040beabb1a70 · inbound

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents cites this paper.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents A Survey of AI Agent Protocols

Reference 42

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orphan_title_repair, observed 2026-05-13T17:16:39.110207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T17:16:17.464937Z digest=sha256:0c94e698dbabd42bf34b6f27c7288d14172bdfca4552f2eaa34ae20e6685276f

Observation 74f99514-7635-449a-a2d0-8aa6b34f443b · inbound

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering cites this paper.

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering A Survey of AI Agent Protocols

Reference 175

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verified exact
arxiv_id, observed 2026-05-11T06:21:00.313974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T17:40:14.733882Z digest=sha256:79a65fb5759e596f3acd8c92796d48219f7ffe132dbf53081c2de73ff28b9ace

Observation e2e65f9a-7abc-4f02-97e2-7b08431c3cc6 · inbound

EmbodiedClaw: Conversational Workflow Execution for Embodied AI Development cites this paper.

EmbodiedClaw: Conversational Workflow Execution for Embodied AI Development A Survey of AI Agent Protocols

Reference 51

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arxiv_id, observed 2026-05-10T13:35:26.240615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:34:58.288245Z digest=sha256:ebf703c612832187f881589dbd6e13368866e27aa86b5ebb8c90a3af9a6f63c1

Observation e61e79aa-75e4-41d3-92e9-b4133d122230 · inbound

CBCL: Safe Self-Extending Agent Communication cites this paper.

CBCL: Safe Self-Extending Agent Communication A Survey of AI Agent Protocols

Reference 21

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arxiv_id, observed 2026-05-10T11:50:20.743733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T11:45:23.630939Z digest=sha256:4db703fd10b0d9bec17a83ce0aa6379ac80fa71bc9483c76f66122661c0defbb

Observation 2bacaa1a-eba8-4fb6-9649-0e3d30dd6147 · inbound

GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing cites this paper.

GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing A Survey of AI Agent Protocols

Reference 7

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arxiv_id, observed 2026-05-09T06:25:40.556432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T18:29:32.989360Z digest=sha256:7b4d724e013ebc51bcf652ef1439f22849435688ac1e65423ac524a766a9c7d5

Observation af37f571-ea63-4e42-894f-5006839edc01 · inbound

CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness cites this paper.

CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness A Survey of AI Agent Protocols

Reference 24

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arxiv_id, observed 2026-05-11T15:31:12.137510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T19:47:49.262632Z digest=sha256:e01ee3b35f4a0a8215e3b489dfbc46d7c91feaf723b382719dbc966389d89de2

Observation 8837f7b2-e00b-4e74-b3dd-e7adc5b9b0b4 · inbound

Tokenizer Fertility and Zero-Shot Performance of Foundation Models on Ukrainian Legal Text: A Comparative Study cites this paper.

Tokenizer Fertility and Zero-Shot Performance of Foundation Models on Ukrainian Legal Text: A Comparative Study A Survey of AI Agent Protocols

Reference 16

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arxiv_id, observed 2026-05-20T21:09:02.542721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-20T21:08:44.929762Z digest=sha256:d4adc40d5780ba42057283e3b0462ad2037b7d965b33570d2b030b0394d824c8

Observation 48586cfc-8275-448e-be53-b41b458a492e · inbound

Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents cites this paper.

Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents A Survey of AI Agent Protocols

Reference 5

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arxiv_id, observed 2026-05-19T20:33:13.124133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-19T20:32:54.215770Z digest=sha256:9fb00978feee1b369eab8ed3a4dabad47bf12f3f11184c4032b0538d19ba1152

Observation 3a4de1ee-23ad-4a95-a995-71a18e5abfaa · inbound

Pramana: A Protocol-Layer Treatment of Claim Verification in Autonomous Agent Networks cites this paper.

Pramana: A Protocol-Layer Treatment of Claim Verification in Autonomous Agent Networks A Survey of AI Agent Protocols

Reference 29

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arxiv_id, observed 2026-05-21T02:13:56.453481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T02:10:13.030288Z digest=sha256:c41a6678985cb2762f3d83c1de3d879c357c495a67977a2f9097ad13a7d30bb6

Observation da347b50-7a51-4424-ae93-85a41d635f98 · inbound

Foundation Protocol: A Coordination Layer for Agentic Society cites this paper.

Foundation Protocol: A Coordination Layer for Agentic Society A Survey of AI Agent Protocols

Reference 21

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arxiv_id, observed 2026-05-25T04:45:20.144762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:16.307015Z digest=sha256:095d286ee03f06fa12f911a050907cd3ea7050542bcba93fd467c34053d18d71

Observation cf7806ac-22ec-4fc7-a513-b26f62fa7d81 · inbound

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents cites this paper.

OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents A Survey of AI Agent Protocols

Reference 40

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arxiv_id, observed 2026-06-29T12:53:26.419200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T12:52:20.911788Z digest=sha256:0e1f5f2703b20bd50be9e82a9ba9c752b90df59a5a262e38cfb835e653d56649

Observation 15914369-c700-4b63-8736-7630f02a3e77 · inbound

Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering cites this paper.

Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering A Survey of AI Agent Protocols

Reference 3

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arxiv_id, observed 2026-07-03T02:37:34.614914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T15:48:39.837630Z digest=sha256:651a08db9e01485ea504a1e4e8d0bb6766494f39da88292e3cb10664c6d904e4

Observation a6e391ed-9d3d-4a9c-ada0-dc634f158afc · inbound

A Technical Taxonomy of LLM Agent Communication Protocols cites this paper.

A Technical Taxonomy of LLM Agent Communication Protocols A Survey of AI Agent Protocols

Reference 103

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arxiv_id, observed 2026-07-04T03:09:28.809787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T18:34:15.845033Z digest=sha256:dc08412ddac710cebebfd733ef614b5d57ab4377e3a749be238a1efa9dd2ae17

Observation 2245711d-4840-4d0a-9f41-17bca311e817 · inbound

Teaching Software Engineering with LLM and MCP Integration: From Classroom to Industry Practice cites this paper.

Teaching Software Engineering with LLM and MCP Integration: From Classroom to Industry Practice A Survey of AI Agent Protocols

Reference 3

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arxiv_id, observed 2026-07-04T01:29:22.442955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T20:21:23.779878Z digest=sha256:b0327b2afadfe41002ddf40bff89cda4b70d574e7eff2fe2b751a602451789c3

Observation 15f36c04-9761-4e34-b97c-df828f327db8 · inbound

AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration cites this paper.

AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration A Survey of AI Agent Protocols

Reference 31

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arxiv_id, observed 2026-07-01T08:05:31.289660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-01T07:56:32.274841Z digest=sha256:26d87629a7b1cc4b4db37c53739654d1a44a1205a82cd49a88d7abb72c304d11

Observation dab73b46-10ff-43bc-9eab-12a9f0c10092 · inbound

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents cites this paper.

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents A Survey of AI Agent Protocols

Reference 27

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verified exact
arxiv_id, observed 2026-07-02T06:06:40.610721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T05:58:39.107614Z digest=sha256:a6bac131470c31193232f9c953719a17f2e86ebdd7ef3798a1f98492fbdfa706

Observation 79ec63d6-1e71-4b4b-b3e7-b1c6f0664c4b · inbound

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents cites this paper.

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents A Survey of AI Agent Protocols

Reference 27

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verified exact
arxiv_id, observed 2026-07-03T18:48:49.556107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-03T18:47:46.719344Z digest=sha256:9030c8dd8b4b4adc84e1210af0aca569ab919102a672468936fa486c31726645

Observation 4e8407dd-e3dc-4cb5-96a2-32b53faa70d8 · inbound

OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice cites this paper.

OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice A Survey of AI Agent Protocols

Reference 5

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verified exact
local_arxiv, observed 2026-07-10T07:46:56.499022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T07:41:35.741974Z digest=sha256:339b201bb4b44420cc7cdbba0053d53d686c2340ae34b7ec22ada84cd9dfd1e5

Observation 39e8ec92-13a7-40be-b38a-73b22bd463e8 · inbound

OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice cites this paper.

OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice A Survey of AI Agent Protocols

Reference 5

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unresolved
no resolver link, observed 2026-08-02T07:53:03.598424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:53:03.598424Z digest=sha256:81a30327fc0089f83789897d9fac1fcc6d29f9c1de24bfec465a4ade61e420a2

Observation 3d65e886-20e9-49f1-9980-7b1c485c4258 · inbound

Scalable LLM Agent Tool Access in the Cloud cites this paper.

Scalable LLM Agent Tool Access in the Cloud A Survey of AI Agent Protocols

Reference 2025

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no resolver link, observed 2026-08-01T22:57:41.327971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:57:41.327971Z digest=sha256:e99da6c949b048202869a077318424166462b7fc185e9ba27646d27be3d0f402